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Non-Gaussianity of structural resistance in the directional simulation in load space

机译:载荷空间定向仿真中结构阻力的非高斯性

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Directional simulation in the load space, due to considerable advantage of working in the space of lower dimension, is of remarkable importance. In this space, however, the variability of structural resistance parameters (which are normally taken to be time-independent random variables) leads the location of the involving limit states to be not constant. These locations therefore have to be assumed to be random variables. In the earlier works (e.g. Melchers 1992, Moarefzadeh, 1996), Gaussian distribution was proposed for this variability and then only two first moments were employed to describe the variability. In the paper presented by the writer earlier (i.e. Moarefzadeh, 2005), by assuming the structural resistance parameters to be independent, and by taking the other two moments(i.e. third and fourth moments) in addition to two first moments and employing "Hermite Moment Model" , it was shown that the assumption of Gaussianity may not be led to accurate results. In this paper, this investigation is extended for the cases in which the structural resistance parameters are not assumed independent any longer. In these cases, it is also shown that departure from Gaussian assumption may result in the considerable different outcomes.
机译:由于在较小尺寸的空间中工作具有相当大的优势,因此在载荷空间中进行方向模拟非常重要。但是,在该空间中,结构阻力参数的可变性(通常被认为是与时间无关的随机变量)导致涉及的极限状态的位置不是恒定的。因此,必须假定这些位置是随机变量。在较早的工作中(例如Melchers 1992,Moarefzadeh,1996),提出了针对这种可变性的高斯分布,然后仅使用两个第一刻来描述可变性。在作者之前发表的论文(即Moarefzadeh,2005年)中,通过假定结构阻力参数是独立的,并且除两个第一时刻外还采用了其他两个时刻(即第三和第四时刻),并采用了“赫姆特矩模型”,结果表明,高斯性的假设可能不会导致准确的结果。在本文中,此研究扩展到不再假定结构抗力参数独立的情况。在这些情况下,还表明偏离高斯假设可能会导致相当不同的结果。

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